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, information theory, statistics, real/functional analysis, statistics. - Excellent programming and software engineering skills at least in Python and in relevant machine learning libraries (at least one of
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working in interdisciplinary and international teams and have image processing or image analysis skills. In addition, you are able to express yourself confidently both orally and in writing in English. What
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disciplines). Experience in/Dedication to: planning and conducting chemical experiments, chemical analysis, process modeling/simulation, and optimization Team player skills and enthusiasm to work in a multi
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. We are looking for candidates with research interest in the theoretical analysis of algorithms. In particular, the candidate shall work on appproximation algorithms for scheduling problems in parallel
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empirical field of investigation. Therefore, it links hithero disparate theoretical perspectives and empirical methods, including ethnography, comparative content analysis and bibliometrics. The project is a